Top Engineering Jobs in Mumbai

Lead a product pod's engineering delivery: plan, estimate, and execute features with high quality and predictable timelines. Bridge product and engineering by reviewing PRDs, guiding technical decisions, enforcing best practices (code review, testing, observability, security), mentoring engineers, collaborating with QA/Design/DevOps, and reducing production issues while managing technical debt.

Lead and grow engineering teams while contributing 20–40% hands-on to the codebase. Own people management, delivery predictability, process improvement, onboarding, and technical credibility. Support performance management, coaching, and technical decisions to improve team health and delivery across a remote-first India-based organisation.

Lead and deliver end-to-end ETL/ELT data pipelines on GCP, using DBT for transformations. Design data architecture (especially marketing data), ensure quality, cost-efficiency, monitoring and security. Manage and mentor a team, drive code reviews, testing, CI/CD, and orchestration (Airflow/Cloud Composer). Collaborate with product, analysts, and data scientists to meet requirements and improve pipeline reliability and performance.

Lead design and implement scalable full-stack solutions using React and Node.js. Own architecture, mentor engineers, enforce coding standards, optimize performance, collaborate with product/DevOps, and ensure security/compliance across services and UIs.

Lead and grow an engineering team, owning delivery, health, and career development. Hire and retain engineers, set engineering standards, provide technical direction, partner cross-functionally, and own operational excellence including incidents and on-call.

As a Quality Assurance Intern, you will execute test cases, create logs, report errors, and improve automation testing processes while collaborating with engineering teams.

Lead data engineering initiatives to build ingestion, integration, and common data models; enable data products and governance across domains; design scalable cloud-based data architectures and ML pipelines; collaborate with business and tech teams to deliver data products, ensure data quality, and drive adoption.

Lead an 8-10 engineer team owning courier systems (dispatch, matching, pricing, ETA). Set technical direction, drive data-driven decisions and experiments, partner with data science, ensure reliability and scalability of low-latency distributed systems, and own hiring, performance, and operational excellence.

Lead and mentor an engineering team to design, build, and scale highly available, transactional web and desktop systems. Architect solutions, improve development lifecycle, deliver roadmaps, manage stakeholders in Agile, conduct performance evaluations, and hire and grow the organization.

Provide front-line technical support by diagnosing customer issues, reproducing bugs, reading MERN codebase, analyzing logs and AWS metrics, collaborating with engineering to fix and verify issues, and proactively monitoring system health.

Lead and grow a data engineering team to design, build, and operate scalable batch and streaming data platforms and pipelines. Own delivery, architecture oversight, technical standards, stakeholder communication, and alignment of data strategy with business priorities while promoting engineering excellence and continuous improvement.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

Lead process optimization and business reengineering using LEAN and design thinking. Analyze current processes, propose and implement improvements, document procedures, manage risks and controls, liaise with technology teams, train stakeholders, and measure outcomes to ensure adoption and efficiency.

Design, develop, and maintain scalable Playwright/Cypress automated test frameworks and suites for web applications. Create and run functional, regression, integration, smoke, and end-to-end tests; integrate tests into CI/CD; debug failures; document defects and quality risks; mentor junior QA engineers; and improve automation coverage, reliability, and test speed.

Manage and grow a 6-12 engineer team across frontend, backend, and platform. Own delivery processes, roadmap alignment, hiring, engineering best practices, incident response, and cross-functional leadership to deliver scalable fintech software.

The Mechanical Designer will create 3D models and construction documents for MEP systems using Revit, ensuring compliance with building codes and collaborating with other disciplines.

The Engineering Manager leads the Data Engineering team, overseeing the design of scalable data pipelines using AWS technologies, mentoring engineers, and collaborating with stakeholders on data-first initiatives.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Lead and mentor software engineers to design, build, and maintain low-latency high-frequency trading systems. Collaborate with quants and traders to translate requirements, manage the SDLC, enforce high code quality and performance, drive optimization and scalability, and foster innovation while staying current on markets and regulations.

Lead and manage full‑stack engineering teams to design, build and deliver cloud-based microservices (MEAN/MERN) for mixed reality products. Drive architecture, quality, Agile delivery, mentoring, stakeholder collaboration, and accountability for product timelines and team growth.

Design, develop, and deploy scalable ML/AI solutions using Python and cloud platforms. Build and optimize models (CV, NLP, recommender systems), create end-to-end ML pipelines, deploy and monitor models on AWS, collaborate with cross-functional teams, write clean code and tests, and follow DevOps/CI-CD best practices.

Design, develop, and maintain ETL processes and data pipelines. Gather requirements, ensure data quality and integrity, perform validation and performance tuning, monitor ETL jobs, troubleshoot issues, and support data warehousing and reporting solutions.

Manage and support RedisDB production environments: cluster operations, node add/remove, capacity planning, installation, upgrades, Sentinel HA, performance tuning, monitoring, and troubleshooting. Create SOPs and operational manuals, gather asset information/architecture diagrams, and recommend service improvements. Collaborate with team and communicate effectively in English.

Lead and mentor a cross-functional development team to design, build, and deliver resilient, scalable full-stack applications. Serve as primary technical contact, solve complex architectural and coding problems, engage with customers and product owners, and drive technical excellence across microservices, frontend-backend integration, and data storage solutions.

As a Backend Engineer, you'll design scalable systems for live sports video streaming. Responsibilities include improving software reliability, developing APIs, and collaborating with cross-functional teams.